A comprehensive performance evaluation of objective quality metrics for contrast enhancement techniques

Muhammad Ali Qureshi; Azeddine Beghdadi; Bilel Sdiri; Mohamed Deriche; Faouzi Alaya-Cheikh

doi:10.1109/EUVIP.2016.7764589

A comprehensive performance evaluation of objective quality metrics for contrast enhancement techniques

Muhammad Ali Qureshi, Azeddine Beghdadi, Bilel Sdiri, Mohamed Deriche, Faouzi Alaya-Cheikh

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

14 Scopus citations

Abstract

In this paper, we present a comprehensive analysis and comparison of state-of-the-art Contrast Enhancement (CE) evaluation metrics. In this work, we developed a new database consisting of 182 images. The subjective experiments were performed to obtain a preference rating from different observers for the enhanced images using six CE methods selected from different representative categories. The quality of the enhanced images is measured with most commonly used CE evaluation metrics. We provide the ranking of images based on perceptual preference as well as objective quality metrics scores. We show that some of the metrics used for the enhancement evaluation are not consistent with the human subjective scores. This new database, named as Contrast Enhancement Evaluation Database (CEED2016), is made publicly available to the research community at http://wwwl2ti. univ-paris13.fr/site/index.php/en/CEED2016/ and is expected to be a contribution to the area of Image Quality Assessment (IQA) and particularly for image quality enhancement evaluation.

Original language	English
Title of host publication	Proceedings of the 2016 6th European Workshop on Visual Information Processing, EUVIP 2016
Editors	L. Oudre, A. Beghdadi, S. Bourennane, A. Bouzerdoum, M. Pedersen, R. Jiang
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509027811
DOIs	https://doi.org/10.1109/EUVIP.2016.7764589
State	Published - 1 Dec 2016

Publication series

Name	Proceedings of the 2016 6th European Workshop on Visual Information Processing, EUVIP 2016

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

contrast enhancement database
contrast enhancement evaluation metrics
image enhancement
image quality assessment
subjective experiments

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Information Systems
Signal Processing

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10.1109/EUVIP.2016.7764589

Cite this

Qureshi, M. A., Beghdadi, A., Sdiri, B., Deriche, M., & Alaya-Cheikh, F. (2016). A comprehensive performance evaluation of objective quality metrics for contrast enhancement techniques. In L. Oudre, A. Beghdadi, S. Bourennane, A. Bouzerdoum, M. Pedersen, & R. Jiang (Eds.), Proceedings of the 2016 6th European Workshop on Visual Information Processing, EUVIP 2016 Article 7764589 (Proceedings of the 2016 6th European Workshop on Visual Information Processing, EUVIP 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EUVIP.2016.7764589

Qureshi, Muhammad Ali ; Beghdadi, Azeddine ; Sdiri, Bilel et al. / A comprehensive performance evaluation of objective quality metrics for contrast enhancement techniques. Proceedings of the 2016 6th European Workshop on Visual Information Processing, EUVIP 2016. editor / L. Oudre ; A. Beghdadi ; S. Bourennane ; A. Bouzerdoum ; M. Pedersen ; R. Jiang. Institute of Electrical and Electronics Engineers Inc., 2016. (Proceedings of the 2016 6th European Workshop on Visual Information Processing, EUVIP 2016).

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abstract = "In this paper, we present a comprehensive analysis and comparison of state-of-the-art Contrast Enhancement (CE) evaluation metrics. In this work, we developed a new database consisting of 182 images. The subjective experiments were performed to obtain a preference rating from different observers for the enhanced images using six CE methods selected from different representative categories. The quality of the enhanced images is measured with most commonly used CE evaluation metrics. We provide the ranking of images based on perceptual preference as well as objective quality metrics scores. We show that some of the metrics used for the enhancement evaluation are not consistent with the human subjective scores. This new database, named as Contrast Enhancement Evaluation Database (CEED2016), is made publicly available to the research community at http://wwwl2ti. univ-paris13.fr/site/index.php/en/CEED2016/ and is expected to be a contribution to the area of Image Quality Assessment (IQA) and particularly for image quality enhancement evaluation.",

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author = "Qureshi, {Muhammad Ali} and Azeddine Beghdadi and Bilel Sdiri and Mohamed Deriche and Faouzi Alaya-Cheikh",

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Qureshi, MA, Beghdadi, A, Sdiri, B, Deriche, M & Alaya-Cheikh, F 2016, A comprehensive performance evaluation of objective quality metrics for contrast enhancement techniques. in L Oudre, A Beghdadi, S Bourennane, A Bouzerdoum, M Pedersen & R Jiang (eds), Proceedings of the 2016 6th European Workshop on Visual Information Processing, EUVIP 2016., 7764589, Proceedings of the 2016 6th European Workshop on Visual Information Processing, EUVIP 2016, Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/EUVIP.2016.7764589

A comprehensive performance evaluation of objective quality metrics for contrast enhancement techniques. / Qureshi, Muhammad Ali; Beghdadi, Azeddine; Sdiri, Bilel et al.
Proceedings of the 2016 6th European Workshop on Visual Information Processing, EUVIP 2016. ed. / L. Oudre; A. Beghdadi; S. Bourennane; A. Bouzerdoum; M. Pedersen; R. Jiang. Institute of Electrical and Electronics Engineers Inc., 2016. 7764589 (Proceedings of the 2016 6th European Workshop on Visual Information Processing, EUVIP 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Qureshi MA, Beghdadi A, Sdiri B, Deriche M, Alaya-Cheikh F. A comprehensive performance evaluation of objective quality metrics for contrast enhancement techniques. In Oudre L, Beghdadi A, Bourennane S, Bouzerdoum A, Pedersen M, Jiang R, editors, Proceedings of the 2016 6th European Workshop on Visual Information Processing, EUVIP 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7764589. (Proceedings of the 2016 6th European Workshop on Visual Information Processing, EUVIP 2016). doi: 10.1109/EUVIP.2016.7764589

A comprehensive performance evaluation of objective quality metrics for contrast enhancement techniques

Abstract

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Keywords

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